Our paper examined the impact of economic sanctions on food prices and security. Anecdotal evidence suggests that food security is threatened in nations subject to sanctions. However, the causal link has not been proven. We employ a two-way fixed-effects approach and leverage the entropy balancing technique to ascertain the existence of a causal link. Our analysis relies on the Global Sanctions Database for sanctions and the FAOSTAT database for food security proxies: food prices and prevalence of undernourishment (PoU). Sanctions increase food prices: during the sanctions period, real food prices are higher by 1.24 percentage points compared to the non-sanctions period. Although the increase in food prices is marginal, overall food security is threatened, as the PoU is 2.1 percentage points higher during sanctions compared to periods without sanctions.
Our paper examined the impact of economic sanctions on food prices and security. Anecdotal evidence suggests that food security is threatened in nations subject to sanctions. However, the causal link has not been proven. We employ a two-way fixed-effects approach and leverage the entropy balancing technique to ascertain the existence of a causal link. Our analysis relies on the Global Sanctions Database for sanctions and the FAOSTAT database for food security proxies: food prices and prevalence of undernourishment (PoU). Sanctions increase food prices: during the sanctions period, real food prices are higher by 1.24 percentage points compared to the non-sanctions period. Although the increase in food prices is marginal, overall food security is threatened, as the PoU is 2.1 percentage points higher during sanctions compared to periods without sanctions.
We study peer effects in consumption patterns and their associated welfare implications among rural farm households in northern Ghana using a panel data set. We construct a social interaction network based on household-specific locations and employ a spatial econometric approach that leverages the structure of the peer networks to identify peer effects. The results indicate that peers' consumption patterns significantly influence individual consumption decisions, with the magnitude of this effect varying across farm households depending on their resource endowments. We also find that information exchange and partial risk-sharing behaviors drive these peer effects. Overall, our findings suggest that government interventions aimed at enhancing household consumption through transfers would be more effective if targeted at households with relatively large peer networks. In addition, anti-poverty and income-improvement programs can leverage peer networks to enhance their overall impact.
We study peer effects in consumption patterns and their associated welfare implications among rural farm households in northern Ghana using a panel data set. We construct a social interaction network based on household-specific locations and employ a spatial econometric approach that leverages the structure of the peer networks to identify peer effects. The results indicate that peers' consumption patterns significantly influence individual consumption decisions, with the magnitude of this effect varying across farm households depending on their resource endowments. We also find that information exchange and partial risk-sharing behaviors drive these peer effects. Overall, our findings suggest that government interventions aimed at enhancing household consumption through transfers would be more effective if targeted at households with relatively large peer networks. In addition, anti-poverty and income-improvement programs can leverage peer networks to enhance their overall impact.
We study peer effects in consumption patterns and their associated welfare implications among rural farm households in northern Ghana using a panel data set. We construct a social interaction network based on household-specific locations and employ a spatial econometric approach that leverages the structure of the peer networks to identify peer effects. The results indicate that peers' consumption patterns significantly influence individual consumption decisions, with the magnitude of this effect varying across farm households depending on their resource endowments. We also find that information exchange and partial risk-sharing behaviors drive these peer effects. Overall, our findings suggest that government interventions aimed at enhancing household consumption through transfers would be more effective if targeted at households with relatively large peer networks. In addition, anti-poverty and income-improvement programs can leverage peer networks to enhance their overall impact.
This study investigates the trade impacts of trade facilitation (TF) and computes ad-valorem tariff equivalents of trade facilitation for Africa. Its contribution is twofold. First, a structural gravity model is used to estimate the impact of TF on trade at a disaggregated level. We also extend our results using different indices that measure TF. Second, in a partial equilibrium framework and using some counterfactuals, it simulates the impact of TF in African countries. Our findings indicate that time to trade has a strong and negative impact on trade, whereas logistics performance and the trade-enabling index positively and significantly impact trade. The analysis suggests that African countries benefit most from TF improvements, particularly those with long delays and weak infrastructural and logistics performance. We find that a one-day custom delay has a 0.9% tariff equivalent. At the product level, the agriculture, food, and some manufacturing sectors, which are the leading African imports, benefit the most from implementing TF. In contrast, mining-related products, which are the major export components of Africa, benefit the least. An ambitious and realistic TF implementation of reducing trade delay by half enhances Africa’s exports and imports by 30.2% and 12.7% respectively.
This study investigates the trade impacts of trade facilitation (TF) and computes ad-valorem tariff equivalents of trade facilitation for Africa. Its contribution is twofold. First, a structural gravity model is used to estimate the impact of TF on trade at a disaggregated level. We also extend our results using different indices that measure TF. Second, in a partial equilibrium framework and using some counterfactuals, it simulates the impact of TF in African countries. Our findings indicate that time to trade has a strong and negative impact on trade, whereas logistics performance and the trade-enabling index positively and significantly impact trade. The analysis suggests that African countries benefit most from TF improvements, particularly those with long delays and weak infrastructural and logistics performance. We find that a one-day custom delay has a 0.9% tariff equivalent. At the product level, the agriculture, food, and some manufacturing sectors, which are the leading African imports, benefit the most from implementing TF. In contrast, mining-related products, which are the major export components of Africa, benefit the least. An ambitious and realistic TF implementation of reducing trade delay by half enhances Africa’s exports and imports by 30.2% and 12.7% respectively.
This study investigates the trade impacts of trade facilitation (TF) and computes ad-valorem tariff equivalents of trade facilitation for Africa. Its contribution is twofold. First, a structural gravity model is used to estimate the impact of TF on trade at a disaggregated level. We also extend our results using different indices that measure TF. Second, in a partial equilibrium framework and using some counterfactuals, it simulates the impact of TF in African countries. Our findings indicate that time to trade has a strong and negative impact on trade, whereas logistics performance and the trade-enabling index positively and significantly impact trade. The analysis suggests that African countries benefit most from TF improvements, particularly those with long delays and weak infrastructural and logistics performance. We find that a one-day custom delay has a 0.9% tariff equivalent. At the product level, the agriculture, food, and some manufacturing sectors, which are the leading African imports, benefit the most from implementing TF. In contrast, mining-related products, which are the major export components of Africa, benefit the least. An ambitious and realistic TF implementation of reducing trade delay by half enhances Africa’s exports and imports by 30.2% and 12.7% respectively.